Zobrazeno 1 - 10
of 114
pro vyhledávání: '"N. Shobha Rani"'
Autor:
N. Shobha Rani, Keshav Shesha Sai, B.R. Pushpa, Arun Sri Krishna, M.A. Sangamesha, K.R. Bhavya, Raghavendra M. Devadas, Vani Hiremani
Publikováno v:
MethodsX, Vol 13, Iss , Pp 102859- (2024)
This study used smartphone captured RGB images of gooseberries to automatically sort into standard, premium, or rejected categories based on topology. Main challenges addressed include, separation of touching or overlapping fruits into individual ent
Externí odkaz:
https://doaj.org/article/d6decb9c08264f83b12dcdf727f36c94
Autor:
Akshatha Prabhu, N. Shobha Rani
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109778- (2023)
Alphonso Mango (Mangifera indica L.), is popularly known as king of mangoes in India. India is one of the leading countries in mango production. Automatic visual inspection systems for quality assessment using weight are intelligent interventions des
Externí odkaz:
https://doaj.org/article/0a448f66279e44beb932bbd57a510d11
Autor:
Pushpa B R, N. Shobha Rani
Publikováno v:
Data in Brief, Vol 49, Iss , Pp 109388- (2023)
Mobile-captured images of medicinal plants are widely used in various research investigations. Machine vision-based tasks such as the identification of plant species types for intelligent imaging device applications take a significant part in it. Bot
Externí odkaz:
https://doaj.org/article/2bc56759f08e47cf80f269648b777ad2
Autor:
B.J. Bipin Nair, N. Shobha Rani
Publikováno v:
Data in Brief, Vol 47, Iss , Pp 108960- (2023)
The realization of high recognition rates of degraded documents such as palm leaf manuscripts primarily relies on document enhancement. Advancement of deep learning models in the process of document enhancement plays a major role among non-deep learn
Externí odkaz:
https://doaj.org/article/611e845df82e48d9a8c30edb16973f11
Publikováno v:
Automatika, Vol 63, Iss 2, Pp 378-398 (2022)
The proposed research aims to restore deteriorated text sections that are affected by stain markings, ink seepages and document ageing in ancient document photographs, as these challenges confront document enhancement. A tri-level semi-adaptive thres
Externí odkaz:
https://doaj.org/article/0e5eec3e4ff24840a09916b87345ec5f
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 44:7257-7275
One of the most essential factors in classifying and qualitatively evaluating mangoes for various industrial uses is weight. To meet grading requirements during industrial processing, this paper presents an orientation-independent weight estimation m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9adfb116bfdcb3648d7e94b8d7beb5f5
https://doi.org/10.3233/jifs-223510
https://doi.org/10.3233/jifs-223510
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR). 26:149-169
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61c30fba82de097bc5e999a8f8904ed6
https://doi.org/10.1007/s10032-022-00425-4
https://doi.org/10.1007/s10032-022-00425-4
Publikováno v:
Procedia Computer Science. 218:133-142
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc01003b41642d9321bc678a1dd78206
https://doi.org/10.1016/j.procs.2022.12.409
https://doi.org/10.1016/j.procs.2022.12.409
Autor:
B.R. Pushpa, N. Shobha Rani
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 43:773-789
Low resolution mobile photographed images pose a complex set of research challenges as compared to non-mobile captured images, which really is a significant issue these days. For non-mobile captured and high-resolution photos, current plant recogniti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8867e8a1b1b40c969267fd108b911316
https://doi.org/10.3233/jifs-212451
https://doi.org/10.3233/jifs-212451
Autor:
N. Shobha Rani, S B Suprathi
Publikováno v:
2022 International Conference on Futuristic Technologies (INCOFT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2640ff30c427ed4442d410ba782872c0
https://doi.org/10.1109/incoft55651.2022.10094521
https://doi.org/10.1109/incoft55651.2022.10094521